hyrelabs/Homura-30B-GGUF
Text Generation • 28B • Updated • 127 • 16
PastelRuntime
PastelRuntime
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reacted to victor's post with 🔥 4 months ago
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Want to share my enthusiasm for zai-org/GLM-5.1 here too 🔥
I think we have it: our open source Claude Code = GLM-5.1 + Pi (https://pi.dev/) - Built a Three.js racing game to eval and it's extremely impressive. Thoughts:
- One-shot car physics with real drift mechanics (this is hard)
- My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen
- 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters
- All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio!
- Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed
You are going to hear about this model a lot in the next months - open source let's go - and thanks z-ai🚀🚀
I think we have it: our open source Claude Code = GLM-5.1 + Pi (https://pi.dev/) - Built a Three.js racing game to eval and it's extremely impressive. Thoughts:
- One-shot car physics with real drift mechanics (this is hard)
- My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen
- 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters
- All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio!
- Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed
You are going to hear about this model a lot in the next months - open source let's go - and thanks z-ai🚀🚀
- 5 replies
reacted to danielhanchen's post with ❤️ 4 months ago
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966
You don’t need to set LLM parameters anymore! 🚀
llama.cpp uses only the context length + compute your local setup needs. Unsloth also auto-applies the correct model settings
Try in Unsloth Studio - now with precompiled llama.cpp binaries.
GitHub: https://github.com/unslothai/unsloth
llama.cpp uses only the context length + compute your local setup needs. Unsloth also auto-applies the correct model settings
Try in Unsloth Studio - now with precompiled llama.cpp binaries.
GitHub: https://github.com/unslothai/unsloth
- 2 replies
reacted to danielhanchen's post with 🔥 4 months ago
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2856
A new way to use Unsloth.
Coming soon...
Coming soon...
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